CNRS Episciences JIMIS volume

Digital Contextualization

by Eric SanJuan

About the journal

Since January 2016, JIMIS is an international open-access peer-reviewed journal covering cross-disciplinary topics. It uses the Creative Commons license and is free for both authors and readers. Each issue is handled by guest editors and dedicated to a specific topic. The strong interdisciplinary nature of the journal is enforced by gathering in one issue articles from Humanities and Social Sciences, and articles from Exact and Experimental Sciences. Papers co-signed by authors from different disciplines are very much welcome, but not mandatory.

Scope of the special issue

The special issue would include state of the art, automatic contextualization methods and would put into perspective representative case studies of these approaches. Each article would be reviewed by a multidisciplinary committee and will include thorough reviews by both sociologists and computer scientists or statisticians.

Submission Notes

Abstracts and articles can be in French or English. Authors must send a PDF file by email to:


For the full paper, the authors must follow the submission process and guidelines of the journal (​​). Most significantly, authors must take into account that publication of accepted papers involves uploading the article on HAL (​https://hal.archives­​) or arXiv (​​). LaTeX, MS Word and OpenOffice templates are provided on the journal website.

Submitted articles ​must not have been previously published nor currently submitted for conference/journal publication elsewhere​. If the article is an extension of a previous paper, please cite it in the submitted article, explicitly describing the new contributions and explain how they are significant.

Important Dates

  • Paper submission deadline: December 1​st​ 2016
  • First round of reviews: January 1​st​ 2017
  • Intended publication date: March 2017

Guest editors:

  • Pr. Frédéric Lebaron, Department of Humanities, ENS Paris­Saclay
  • Dr. Brigitte Le Roux, MAP5 ­ University Paris Descartes and CEVIPOF ­ Sciences­Po Paris
  • Pr. Fionn Murtagh, Big Data Lab, University of Derby and Goldsmiths University of London
  • Pr. Evelyn Ruppert, Department of Sociology, Goldsmiths University of London
  • Dr. Eric SanJuan­Ibekwe, Computer Science Lab of Avignon (LIA), University of Avignon

View online : Submission WebSite